hypervolume_to_data_frame: Convert hypervolumes to 'data.frame'

In hypervolume: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls

Convert hypervolumes to data.frame

Description

Convert objects of class Hypervolume or HypervolumeList to a data.frame.

Usage

hypervolume_to_data_frame(hv, remove_zeroes = TRUE)

Arguments

hv	A Hypervolume or HypervolumeList.
remove_zeroes	Remove zeroes from ValuesAtRandomPoints. See Details for further information. It works for hypervolume_n_occupancy(), hypervolume_n_occupancy_test(), occupancy_to_union(), occupancy_to_intersection() and occupancy_to_unshared(), otherwise ignored.

Details

Zero values are generated during the occupancy routine when a random point is included in some groups of hypervolumes but not in others. A tipical usage of hypervolume_to_data_frame() with objects generated with the occupancy routine should remove zeroes.

Value

A data.frame.

Examples

## Not run: 
data(penguins,package='palmerpenguins')
penguins_no_na = as.data.frame(na.omit(penguins))

# split the dataset on species and sex
penguins_no_na_split = split(penguins_no_na, 
                        paste(penguins_no_na$species, penguins_no_na$sex, sep = "_"))


# calculate the hypervolume for each element of the splitted dataset
hv_list = mapply(function(x, y) 
  hypervolume_gaussian(x[, c("bill_length_mm", "flipper_length_mm")],
                       samples.per.point=100, name = y), 
  x = penguins_no_na_split, 
  y = names(penguins_no_na_split))

hv_list <- hypervolume_join(hv_list)

# get the data.frame
hypervolume_to_data_frame(hv_list)

## End(Not run)

hypervolume documentation built on May 29, 2024, 8:19 a.m.